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Perceptual Hashing of Video Content Based on Differential Block Similarity

  • Xuebing Zhou
  • Martin Schmucker
  • Christopher L. Brown
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3802)

Abstract

Each multimedia content can exist in different versions, e.g. different compression rates. Thus, cryptographic hash functions cannot be used for multimedia content identification or verification as they are sensitive to bit flips. In this case, perceptual hash functions that consider perceptual similarity apply. This article describes some of the different existing approaches for video data. One algorithm based on spatio-temporal color difference is investigated. The article shows how this method can be improved by using a simple similarity measure. We analyze the performance of the new method and compare it with the original method. The proposed algorithm shows increased reliability of video identification both in robustness and discriminating capabilities.

Keywords

Hash Function Video Clip Video Content Multimedia Content Video Annotation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Xuebing Zhou
    • 1
  • Martin Schmucker
    • 1
  • Christopher L. Brown
    • 2
  1. 1.Fraunhofer IGDDarmstadtGermany
  2. 2.Institute of TelecommunicationsDarmstadt University of TechnologyDarmstadt

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